Modelling of optimal timing for influenza vaccination as a function of intraseasonal waning of immunity and vaccine coverage.
Identifieur interne : 000313 ( Main/Exploration ); précédent : 000312; suivant : 000314Modelling of optimal timing for influenza vaccination as a function of intraseasonal waning of immunity and vaccine coverage.
Auteurs : Valentina Costantino [Australie] ; Mallory Trent [Australie] ; C Raina Macintyre [États-Unis]Source :
- Vaccine [ 1873-2518 ] ; 2019.
Abstract
The influenza season in Australia usually peaks in August. Vaccination is recommended beginning in March-April. Recent studies suggest that vaccine effectiveness may wane over a given influenza season, leading to reduced effectiveness at the peak of the season. We aimed to quantify how changes in timing of influenza vaccination and declining vaccine coverage could change the percentages of prevented cases. Results from a systematic review were used to inform calculation of a waning function over time from vaccination. Age specific notification data and vaccine effectiveness and coverage estimates from 2007 to 2016 (2009 influenza pandemic year excluded) were used to model a new notification series where vaccine effectiveness is shifted in time to account for delayed vaccination by month from March to August. A sensitivity analysis was done on possible vaccine coverage changes and considering time gap between vaccine uptake and recommendation. Delaying vaccination from March to end of May prevents more cases over a season, but the variation in cases prevented by month of vaccination is not large. If delaying vaccination results in missed or forgotten vaccination and decrease coverage, delaying vaccination could have a net negative impact. Furthermore, considering a time gap between recommendation and uptake, earlier recommendation is more effective in preventing cases. The results are sensitive to assumptions of intra-seasonal waning of effectiveness. More research is required on intra-seasonal vaccine effectiveness waning and the effect of delayed vaccination on overall uptake to inform any potential changes to current vaccine scheduling recommendations.
DOI: 10.1016/j.vaccine.2019.08.069
PubMed: 31521411
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000095
- to stream PubMed, to step Curation: 000095
- to stream PubMed, to step Checkpoint: 000120
- to stream Ncbi, to step Merge: 002000
- to stream Ncbi, to step Curation: 002000
- to stream Ncbi, to step Checkpoint: 002000
- to stream Main, to step Merge: 000312
- to stream Main, to step Curation: 000313
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Modelling of optimal timing for influenza vaccination as a function of intraseasonal waning of immunity and vaccine coverage.</title><author><name sortKey="Costantino, Valentina" sort="Costantino, Valentina" uniqKey="Costantino V" first="Valentina" last="Costantino">Valentina Costantino</name><affiliation wicri:level="3"><nlm:affiliation>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia. Electronic address: v.costantino@unsw.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney</wicri:regionArea><placeName><settlement type="city">Sydney</settlement><region type="état">Nouvelle-Galles du Sud</region></placeName></affiliation></author><author><name sortKey="Trent, Mallory" sort="Trent, Mallory" uniqKey="Trent M" first="Mallory" last="Trent">Mallory Trent</name><affiliation wicri:level="3"><nlm:affiliation>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia. Electronic address: mallory.trent@unsw.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney</wicri:regionArea><placeName><settlement type="city">Sydney</settlement><region type="état">Nouvelle-Galles du Sud</region></placeName></affiliation></author><author><name sortKey="Macintyre, C Raina" sort="Macintyre, C Raina" uniqKey="Macintyre C" first="C Raina" last="Macintyre">C Raina Macintyre</name><affiliation wicri:level="2"><nlm:affiliation>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia; College of Public Service and Community Solutions, Arizona State University, Arizona, USA. Electronic address: r.macintyre@unsw.edu.au.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia; College of Public Service and Community Solutions, Arizona State University, Arizona</wicri:regionArea><placeName><region type="state">Arizona</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2019">2019</date><idno type="RBID">pubmed:31521411</idno><idno type="pmid">31521411</idno><idno type="doi">10.1016/j.vaccine.2019.08.069</idno><idno type="wicri:Area/PubMed/Corpus">000095</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000095</idno><idno type="wicri:Area/PubMed/Curation">000095</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000095</idno><idno type="wicri:Area/PubMed/Checkpoint">000120</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000120</idno><idno type="wicri:Area/Ncbi/Merge">002000</idno><idno type="wicri:Area/Ncbi/Curation">002000</idno><idno type="wicri:Area/Ncbi/Checkpoint">002000</idno><idno type="wicri:Area/Main/Merge">000312</idno><idno type="wicri:Area/Main/Curation">000313</idno><idno type="wicri:Area/Main/Exploration">000313</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Modelling of optimal timing for influenza vaccination as a function of intraseasonal waning of immunity and vaccine coverage.</title><author><name sortKey="Costantino, Valentina" sort="Costantino, Valentina" uniqKey="Costantino V" first="Valentina" last="Costantino">Valentina Costantino</name><affiliation wicri:level="3"><nlm:affiliation>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia. Electronic address: v.costantino@unsw.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney</wicri:regionArea><placeName><settlement type="city">Sydney</settlement><region type="état">Nouvelle-Galles du Sud</region></placeName></affiliation></author><author><name sortKey="Trent, Mallory" sort="Trent, Mallory" uniqKey="Trent M" first="Mallory" last="Trent">Mallory Trent</name><affiliation wicri:level="3"><nlm:affiliation>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia. Electronic address: mallory.trent@unsw.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney</wicri:regionArea><placeName><settlement type="city">Sydney</settlement><region type="état">Nouvelle-Galles du Sud</region></placeName></affiliation></author><author><name sortKey="Macintyre, C Raina" sort="Macintyre, C Raina" uniqKey="Macintyre C" first="C Raina" last="Macintyre">C Raina Macintyre</name><affiliation wicri:level="2"><nlm:affiliation>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia; College of Public Service and Community Solutions, Arizona State University, Arizona, USA. Electronic address: r.macintyre@unsw.edu.au.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Biosecurity Program, Kirby Institute, Faculty of Medicine, The University of New South Wales, Sydney, Australia; College of Public Service and Community Solutions, Arizona State University, Arizona</wicri:regionArea><placeName><region type="state">Arizona</region></placeName></affiliation></author></analytic><series><title level="j">Vaccine</title><idno type="eISSN">1873-2518</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The influenza season in Australia usually peaks in August. Vaccination is recommended beginning in March-April. Recent studies suggest that vaccine effectiveness may wane over a given influenza season, leading to reduced effectiveness at the peak of the season. We aimed to quantify how changes in timing of influenza vaccination and declining vaccine coverage could change the percentages of prevented cases. Results from a systematic review were used to inform calculation of a waning function over time from vaccination. Age specific notification data and vaccine effectiveness and coverage estimates from 2007 to 2016 (2009 influenza pandemic year excluded) were used to model a new notification series where vaccine effectiveness is shifted in time to account for delayed vaccination by month from March to August. A sensitivity analysis was done on possible vaccine coverage changes and considering time gap between vaccine uptake and recommendation. Delaying vaccination from March to end of May prevents more cases over a season, but the variation in cases prevented by month of vaccination is not large. If delaying vaccination results in missed or forgotten vaccination and decrease coverage, delaying vaccination could have a net negative impact. Furthermore, considering a time gap between recommendation and uptake, earlier recommendation is more effective in preventing cases. The results are sensitive to assumptions of intra-seasonal waning of effectiveness. More research is required on intra-seasonal vaccine effectiveness waning and the effect of delayed vaccination on overall uptake to inform any potential changes to current vaccine scheduling recommendations.</div></front></TEI><affiliations><list><country><li>Australie</li><li>États-Unis</li></country><region><li>Arizona</li><li>Nouvelle-Galles du Sud</li></region><settlement><li>Sydney</li></settlement></list><tree><country name="Australie"><region name="Nouvelle-Galles du Sud"><name sortKey="Costantino, Valentina" sort="Costantino, Valentina" uniqKey="Costantino V" first="Valentina" last="Costantino">Valentina Costantino</name></region><name sortKey="Trent, Mallory" sort="Trent, Mallory" uniqKey="Trent M" first="Mallory" last="Trent">Mallory Trent</name></country><country name="États-Unis"><region name="Arizona"><name sortKey="Macintyre, C Raina" sort="Macintyre, C Raina" uniqKey="Macintyre C" first="C Raina" last="Macintyre">C Raina Macintyre</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000313 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000313 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= PandemieGrippaleV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:31521411
|texte= Modelling of optimal timing for influenza vaccination as a function of intraseasonal waning of immunity and vaccine coverage.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:31521411" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PandemieGrippaleV1
| This area was generated with Dilib version V0.6.34. |  |